Research and Publications
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Models explained much of the variability between predictions and manual measurements, and yet it is expected that future applications could produce even better results by reducing some of the methodological sources of error that we encountered. Our work demonstrates how terrestrial laser scanning (TLS) can be used efficiently to extend manual measurement of vegetation characteristics from small to large plots in grasslands and shrublands, with potential application to other similarly structured ecosystems. Our method shows that vegetation structural characteristics can be modeled without classifying and delineating individual plants, a challenging and time-consuming step common in previous methods applying TLS to vegetation inventory. Improving application of TLS to studies of shrub-steppe ecosystems will serve immediate management needs by enhancing vegetation inventories, environmental modeling studies, and the ability to train broader datasets collected from air and space.
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Since the 1990s, numerous Rangeland Fire Protection Associations (RFPAs) have emerged in Oregon and Idaho, and a recent 2015 law authorizes RFPAs in Nevada as well. RFPAs organize and authorize rancher participation in fire suppression alongside federal agency firefighters (typically, the Bureau of Land Management or BLM). These all-volunteer crews of ranchers have training and legal authority to respond to fires on private and state lands in landscapes where there had been no existing fire protection, and can become authorized to respond on federal lands as well.
There has been growing policy interest in better understanding the RFPA model. This study analyzed RFPA establishment, functioning, successes, and challenges through four case studies of individual RFPAs and their respective state programs in Oregon and Idaho during 2015-2016.
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This brief provides an overview of the JFSP’s mission, values, science delivery focus, and unique role in the greater fire science community – including leveraging partnerships for the greater good.
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This study provides the first time series estimates of PM2.5 smoke costs across mortality and several morbidity measures for the Western US over 2005–2015. This time period includes smoke from several megafires and includes years of record-breaking acres burned. Smoke costs are estimated using a benefits transfer protocol developed for contexts when original health data are not available. The novelty of our protocol is that it synthesizes the literature on choices faced by researchers when conducting a smoke cost benefit transfer. On average, wildfire smoke in the Western US creates $165 million in annual morbidity and mortality health costs.
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This study used a team with widely diverse expertise that gathered information from private, state, federal, and tribal landowners about their current forest and fire management practices and then built a computer model that can be used to facilitate collaborative decision making about forest management in fire-prone environments. The model allows stakeholders to compare alternative management scenarios to see how various approaches affect wildfire behavior, risk, and the associated delivery of valued ecosystem services. The model is now being used with two forest collaborative groups in central Oregon to help stakeholders understand the potential tradeoffs associated with management options.
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This study identifies a broader set of objectives, decisions and constraints to be integrated into the next generation operational research models. Including these changes would support evaluation of a suite of response options and the efficient resource packages necessary to achieve response objectives, aiding decision maker’s ability to minimize responder exposure while reducing the social, ecological and economic impacts of wildfires. Researchers follow with a proposed framework for expanding current large fire decision support systems, and conclude by briefly highlighting critical research needs and organizational changes necessary to create and implement these tools and overcome the negative consequences of positive feedbacks derived from historical and current wildfire management policies and strategies.
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This study compared resultant travel rates to LiDAR-derived estimates of slope, vegetation density and ground surface roughness using linear mixed effects modelling to quantify the relationships between these landscape conditions and travel rates. The best-fit model revealed significant negative relationships between travel rates and each of the three landscape conditions, suggesting that, in order of decreasing magnitude, as density, slope and roughness increase, travel rates decrease. Model coefficients were used to map travel impedance within the study area using LiDAR data, which enabled mapping the most efficient routes from fire crew locations to safety zones and provided an estimate of travel time.
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In this paper, the authors describe an approach to facilitate development and implementation of climate change adaptation options in forest management which they applied to a case study area in southwestern Oregon, USA. Their approach relied on participation of local specialists across multiple organizations to establish a science–manager partnership, development of climate change education in multiple formats, hands-on development of adaptation options, and application of tools to incorporate climate change in planned projects.
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The Fire Science Core Curriculum – Promoting Awareness, Understanding, and Respect of Fire through Knowledge of the Science is designed to teach the basics of fire to non-fire-professional community members, including instructors and landowners, such as ranchers and farmers. The goal is to reduce risk and fire hazard through education and understanding.
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This analysis found that season, plant composition, and ungulate assemblage may all influence dietary competition between wild horses and other large ungulate sharing western North American rangelands; however, the low and nonsignificant heterogeneity values at alpha 0.01 for cattle:horse effect size comparisons suggest that cattle and horses respond to regional and seasonal variation similarly—a result not observed for other ungulate:horse comparisons. Our meta-analysis provides a robust data set for evaluations of diet composition for wild horses, livestock, and wildlife, whereas no empirical studies have assessed all species together.